Findings from City University of New York (CUNY) Yields New Findings on Pattern Recognition and Artificial Intelligence (Impact of Labeling Schemes On Dense Crowd Counting Using Convolutional Neural Networks With Multiscale Upsampling)

摘要

By a News Reporter-Staff News Editor at Network Daily News - Data detailed on Machine Learning - Pattern Recognition and Artificial Intelligence have been presented. According to news reporting from New York City, New York, by NewsRx journalists, research stated, “Gatherings of thousands to millions of people frequently occur for an enormous variety of educational, social, sporting, and political events, and automated counting of these high-density crowds is useful for safety, management, and measuring significance of an event. In this work, we show that the regularly accepted labeling scheme of crowd density maps for training deep neural networks may not be the most effective one.”